Stream-Parallel Data Aggregation Network for Clinical Records
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Solution Overview
Problem
Current methods for retrieving clinical data from electronic health repositories often involve manual entry, result in delayed and inconsistent information, and require care providers to query multiple sources, leading to outdated or incorrect records, which can cause delays in informed treatment and potentially harmful health outcomes.
Innovation Solution
A network architecture with an aggregator module that interfaces with data sources to automatically identify and retrieve electronic medical records in real-time, using discharge notifications to target the correct sources, verify record quality, and deliver accurate clinical data to care managers, thereby streamlining the data retrieval process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual methods are used to retrieve clinical data from electronic health repositories, then care managers can access patient information, but the process is delayed and results in inconsistent or outdated records
Solution Approach 1:
The system performs preliminary actions by automatically querying multiple electronic health repositories in real-time when a patient is discharged or a healthcare event occurs. The aggregator proactively retrieves and verifies clinical documents before care managers need them, eliminating the need for manual searches weeks or months later. This preliminary automated retrieval ensures timely and accurate data availability.
Solution Approach 2:
The aggregator acts as an intermediary between care managers and multiple electronic health repositories. It automatically interfaces with various data sources, queries for patient records, verifies document quality, and delivers consolidated clinical data to care managers. This intermediary function eliminates manual navigation through multiple network portals and ensures consistent, accurate data retrieval.
2Adaptability or versatility
If care managers query multiple network portals and electronic health record systems manually, then they can search for patient records, but the process requires several searches over time and may result in incorrect or delayed information
Solution Approach 1:
The system merges multiple electronic health repository interfaces into a single aggregator system. Instead of care managers manually querying each network portal separately, the aggregator consolidates connections to multiple repositories and performs unified searches, automatically consolidating results and delivering comprehensive patient records through a single coordinated process.
Solution Approach 2:
The aggregator performs self-service by automatically detecting when patient data is needed, querying appropriate repositories without human intervention, verifying document quality, and delivering records to care managers. This automated self-service eliminates the need for manual navigation through multiple systems and reduces the complexity of accessing diverse data sources.
3Loss of information
If care managers wait for documents to be provided through traditional mail or fax after querying, then they can receive solicited clinical treatment documents, but the delivery is time-consuming and delayed from the query
Solution Approach 1:
The system replaces mechanical delivery methods (postal mail and fax) with electronic data transmission. The aggregator electronically queries repositories, receives digital clinical documents, verifies their quality, and delivers them electronically to care managers' systems. This substitution eliminates physical mailing delays and enables near-instantaneous document delivery.
Solution Approach 2:
The system maintains continuous operation by automatically querying repositories and delivering documents without interruption. Unlike manual processes that pause for human availability, the aggregator continuously monitors for new patient records, immediately queries relevant repositories when events occur, and continuously delivers updated information to care managers as it becomes available.
Data Source
AI summary
A parallel network architecture connects among providers, subscribers, and storage networks to pull clinical records in an automated and verifiable electronic context. Messages, alerts, or data updates from a healthcare event such as a discharge are received, and example embodiment networks calculate patient clinical data target from the same and query the target for the patient to solicit records for the patient of the event, proximate to the event. The received records may be clinical, with diagnostic and treatment records for the patient, to be automatically delivered back to a subscribing user. Example embodiment networks may improve record quality and data match by verifying a target stores records for the patient, timing queries and requested data to those found most successful for a target, and/or not delivering records that contain errors, no clinical data, are duplicative or unreadable, and/or are not for the patient or healthcare event.